A new approach for modelling variability in residential construction projects
<p>The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new ap...
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doaj-8e9f2b1db8204338823d4b2b1270b7bc2020-11-24T22:27:27ZengUTS ePRESSAustralasian Journal of Construction Economics and Building1835-63541837-91332013-06-01132839210.5130/ajceb.v13i2.31202134A new approach for modelling variability in residential construction projectsMehrdad Arashpour0Ron Wakefield1Nick Blismas2EWM lee3RMIT UniversityRMIT UniversityRMIT UniversityCity University of Hong Kong<p>The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new approach for modelling variability in construction by linking relative variability indicators to processes. Mass homebuilding sector was chosen as the scope of the analysis because data is readily available. Numerous simulation experiments were designed by varying size of capacity buffers in front of trade contractors, availability of trade contractors, and level of variability in homebuilding processes. The measurements were shown to lead to an accurate determination of relationships between these factors and production parameters. The variability indicator was found to dramatically affect the tangible performance measures such as home completion rates. This study provides for future analysis of the production homebuilding sector, which may lead to improvements in performance and a faster product delivery to homebuyers.</p><p> </p>https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3120Completion timeProduction managementqueuingResidential constructionSensitivity analysisVariability in supply chainwork-in-process inventory |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mehrdad Arashpour Ron Wakefield Nick Blismas EWM lee |
spellingShingle |
Mehrdad Arashpour Ron Wakefield Nick Blismas EWM lee A new approach for modelling variability in residential construction projects Australasian Journal of Construction Economics and Building Completion time Production management queuing Residential construction Sensitivity analysis Variability in supply chain work-in-process inventory |
author_facet |
Mehrdad Arashpour Ron Wakefield Nick Blismas EWM lee |
author_sort |
Mehrdad Arashpour |
title |
A new approach for modelling variability in residential construction projects |
title_short |
A new approach for modelling variability in residential construction projects |
title_full |
A new approach for modelling variability in residential construction projects |
title_fullStr |
A new approach for modelling variability in residential construction projects |
title_full_unstemmed |
A new approach for modelling variability in residential construction projects |
title_sort |
new approach for modelling variability in residential construction projects |
publisher |
UTS ePRESS |
series |
Australasian Journal of Construction Economics and Building |
issn |
1835-6354 1837-9133 |
publishDate |
2013-06-01 |
description |
<p>The construction industry is plagued by long cycle times caused by variability in the supply chain. Variations or undesirable situations are the result of factors such as non-standard practices, work site accidents, inclement weather conditions and faults in design. This paper uses a new approach for modelling variability in construction by linking relative variability indicators to processes. Mass homebuilding sector was chosen as the scope of the analysis because data is readily available. Numerous simulation experiments were designed by varying size of capacity buffers in front of trade contractors, availability of trade contractors, and level of variability in homebuilding processes. The measurements were shown to lead to an accurate determination of relationships between these factors and production parameters. The variability indicator was found to dramatically affect the tangible performance measures such as home completion rates. This study provides for future analysis of the production homebuilding sector, which may lead to improvements in performance and a faster product delivery to homebuyers.</p><p> </p> |
topic |
Completion time Production management queuing Residential construction Sensitivity analysis Variability in supply chain work-in-process inventory |
url |
https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/3120 |
work_keys_str_mv |
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1725749950401216512 |